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of 552
pro vyhledávání: '"Lee Soomin"'
We study the personalized federated learning problem under asynchronous updates. In this problem, each client seeks to obtain a personalized model that simultaneously outperforms local and global models. We consider two optimization-based frameworks
Externí odkaz:
http://arxiv.org/abs/2210.01176
In this paper, we tackle the problem of active robotic 3D reconstruction of an object. In particular, we study how a mobile robot with an arm-held camera can select a favorable number of views to recover an object's 3D shape efficiently. Contrary to
Externí odkaz:
http://arxiv.org/abs/2209.08409
Autor:
Lee, Soomin1,2 (AUTHOR) bimily0526@gmail.com, Han, Sung Joon3 (AUTHOR) hansungjoon@cnuh.co.kr, Park, Jiho2,4 (AUTHOR), Kim, Yoon-Hee1,2 (AUTHOR) yhkim040404@gmail.com, Hong, Boohwi1,2 (AUTHOR) koho0127@gmail.com, Oh, Chahyun1,2 (AUTHOR) 5chahyun@cnuh.co.kr, Yoon, Seok-Hwa1,2 (AUTHOR) 5chahyun@cnuh.co.kr
Publikováno v:
Journal of Clinical Medicine. Sep2024, Vol. 13 Issue 17, p5302. 10p.
Autor:
Feng, Lei 1, Li, Wei 1, Lai, Jianming 2, Yang, Weihao 1, Wu, Shangxing 1, Liu, Jiajia 1, Ma, Ruixin 2, Lee, Soomin 3, Tian, Jing 3, ∗
Publikováno v:
In World Neurosurgery July 2024 187:e220-e232
Autor:
Yi, Saehah 1, Song, Hyokeun 1, Kim, Woo-Hyun, Lee, Soomin, Guk, Jae-Ho, Woo, JungHa, Cho, Seongbeom ⁎
Publikováno v:
In International Journal of Food Microbiology 2 June 2024 417
Autor:
Dvurechensky, Pavel, Kamzolov, Dmitry, Lukashevich, Aleksandr, Lee, Soomin, Ordentlich, Erik, Uribe, César A., Gasnikov, Alexander
Statistical preconditioning enables fast methods for distributed large-scale empirical risk minimization problems. In this approach, multiple worker nodes compute gradients in parallel, which are then used by the central node to update the parameter
Externí odkaz:
http://arxiv.org/abs/2102.08246
Autor:
Robbins, Shawn M. a, ⁎, Tyrpenou, Evangelos b, Lee, Soomin a, Ippersiel, Patrick a, Antoniou, John b
Publikováno v:
In Journal of Electromyography and Kinesiology April 2024 75
Autor:
Lee, Soomin1 (AUTHOR), Ma, Xiaonan1 (AUTHOR), Choi, Younghwan1 (AUTHOR), Kim, Yeon Soo1,2 (AUTHOR) kys0101@snu.ac.kr
Publikováno v:
Scientific Reports. 6/27/2024, Vol. 14 Issue 1, p1-11. 11p.
Natural language processing techniques have demonstrated promising results in keyphrase generation. However, one of the major challenges in \emph{neural} keyphrase generation is processing long documents using deep neural networks. Generally, documen
Externí odkaz:
http://arxiv.org/abs/2008.01739
Akademický článek
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